|
|
Explaining Ethics Convergence: The Case of Artificial intelligence
Miotto, Maria Lucia ; Špelda, Petr (vedoucí práce) ; Střítecký, Vít (oponent)
Maria Lucia Miotto Master Thesis Abstract in English Although more and more works are showing convergence between the many documents regarding the ethics of artificial intelligence, none of them has tried to explain the reasons for this convergence. The thesis here proposed is that the diffusion of these principles is due to the underlying action of an epistemic community that has promoted the spread and the adoption of these values. Then, through network analysis, this thesis describes the AI ethics epistemic community and its methods of value diffusion, testing for the most effective. Then, to test the first result, two case studies, representative of political opposites, the United States and the People Republic of China have been analysed to see which method of diffusion has worked the most. What seems evident is that scientific conferences remain a primary factor in the transmission of knowledge. However, particular attention must also be given to the role played by universities and research labs (also those of big tech-companies) because they have revealed to be great aggregators for the epistemic community and are increasing their centrality in the network.
|
|
|
Explaining Ethics Convergence: The Case of Artificial intelligence
Miotto, Maria Lucia ; Špelda, Petr (vedoucí práce) ; Střítecký, Vít (oponent)
Maria Lucia Miotto Master Thesis Abstract in English Although more and more works are showing convergence between the many documents regarding the ethics of artificial intelligence, none of them has tried to explain the reasons for this convergence. The thesis here proposed is that the diffusion of these principles is due to the underlying action of an epistemic community that has promoted the spread and the adoption of these values. Then, through network analysis, this thesis describes the AI ethics epistemic community and its methods of value diffusion, testing for the most effective. Then, to test the first result, two case studies, representative of political opposites, the United States and the People Republic of China have been analysed to see which method of diffusion has worked the most. What seems evident is that scientific conferences remain a primary factor in the transmission of knowledge. However, particular attention must also be given to the role played by universities and research labs (also those of big tech-companies) because they have revealed to be great aggregators for the epistemic community and are increasing their centrality in the network.
|
host ::
RSS.